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| Criterion |  Product Discovery Kano Model |  Product Strategy DIBB |  Decision Making Decision Matrix |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-2 Tage | 1-2 h | 45-90 min | 30-60 min |
Participantsdifferent | 10-50 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | DIBB document, Belief list, Bet list, Learning report | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List |
Tagsno overlap | SatisfactionPrioritizationCustomer | StrategyDecisionAssumptionsHypothesis | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision |